Goal (Instruction Goal)
From The Embassy of Good Science
0
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts. +
02 - The Seven Steps Method: A Method for Analysing Cases in Research Ethics and Research Integrity +
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts. +
03 - Four Quadrant Approach: A Method for Analysing Cases in Research Ethics and Research Integrity +
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts. +
04 - Moral Case Deliberation: A Method for Analysing Cases in Research Ethics and Research Integrity +
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts. +
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts. +
Members of The Embassy of Good Science have developed a set of six user-friendly, accessible methods for analysing research ethics and research integrity cases.
These methods have been identified, adapted and presented so that they can be appropriated by all users, without prior philosophical knowledge, in local contexts. +
A
The aim of this module is to facilitate reflection upon the ethics issues associated with the development and use of non-human gene editing in a research project.
'''Learning outcomes'''
At the end of this module, learners will be able to:
#Identify and analyse the ethics issues and dilemmas associated with an example research proposal.
#Make suggestions for how the ethics issues might be addressed.
#Identify ethics guidelines and policies that are relevant to the proposed research. +
The aim of this module is to facilitate reflection upon the cross-cutting ethics issues associated with a research proposal to use AI-driven analytics to understand malaria transmission patterns in rural Sub-Saharan Africa.
== Learning outcomes ==
At the end of this module, learners will be able to:
# Identify and analyse the ethics issues and dilemmas associated with a hypothetical research proposal.
# Make suggestions for how the ethics issues, including ethics dumping, might be addressed.
# Identify ethics guidelines and policies that are relevant to the proposed research. +
The aim of this module is to support research ethics reviewers in learning about AI technologies for the review of projects and proposals that develop and/or use AI for healthcare.
The content focuses on key technology basics in a succinct manner, and signposts further learning opportunities for those who require more in-depth knowledge.
'''Learning outcomes'''
At the end of this module, learners will be able to:
#Identify AI systems and how they are built.
#Discuss some key applications of AI-based systems in healthcare.
#Discuss the primary implications of the use of AI in healthcare. +
The aim of this module is to support students, researchers, and research ethics reviewers in learning about and reflecting upon the ethics issues associated with the development and use of AI technologies in healthcare.
'''Learning outcomes'''
At the end of this module, learners will be able to:
#Explain the relevance of informed consent, transparency and explainability for AI in healthcare.
#Describe the data-related ethics issues for AI in healthcare.
#Reflect upon broader ethics issues (like social values and the environmental impact) related to AI in healthcare.
#Access relevant guidelines and regulations for the use of AI in healthcare (e.g., the European Commission Guidelines for AI Research) +
This module will help you to add your project outputs as resources on the Embassy! Adding resources to the Embassy is the best way to highlight your educational materials, guidelines, and project deliverables in a way that makes them accessible to users across the platform +
This module will teach you how to add a module to the Embassy of good science. +
This module provides an overview of the different functionalities available to users of the Embassy, with videos showing you how you can contribute! +
<div>
'''<span lang="EN-US">Analyze</span>''' <span lang="EN-GB">the environmental implications of research through the lens of ethical principles related to Environmental Justice:</span>
* <span lang="EN-GB">Leave No One Behind</span>
* <span lang="EN-GB">Do No Significant Harm (DNSH)</span>
* <span lang="EN-GB">Precautionary Principle</span>
* <span lang="EN-GB">Polluter Pays Principle</span>
* <span lang="EN-GB">Informed consent</span>
</div><div>
'''<span lang="EN-GB">Apply</span>''' <span lang="EN-GB">each principle to research practice by responding</span> <span lang="EN-US">to questions that prompt critical reflection.</span>
</div> +
After completing this modules learners will be able to:
# understand the role of ecofeminist principles in research;
# apply relevant ecofeminist principles to various research dilemmas. +
Bu bölümde bulunan talimatlar, katılımcılara (yüz yüze) grup oturumları arasında yapılması gereken çalışmaları nasıl organize edecekleri hususunda bilgi vermektedir. +
Bu modülde, araştırma doğruluğuyla ilgili genel ilkelere giriş yapılmakta, Araştırmalarda Dürüstlük Konusunda Avrupa Davranış Kodu (ECoC)’nun çizdiği kılavuz niteliğindeki çerçeve açıklanmakta ve sizden ECoC’u kendi karşılaştığınız durumlara uyarlamanız istenmektedir. +
B
The purpose of this training activity is to engage participants in a game to encourage discussion on fictional research ethics and research integrity cases in order to promote better self-understanding and mutual understanding, while also enhancing listening and argumentation skills. +
This module aims to encourage reflection on the ethical issues involved in biobanking, cross-border collaborations and the need for alignment of practices across countries and between public and private institutions.
'''Learning outcomes'''
At the end of this module, learners will be able to:
#Identify and analyse the ethics issues and dilemmas associated with an example research proposal.
#Make suggestions for how the ethics issues might be addressed.
#Identify ethics guidelines and policies that are relevant to the proposed research.
'''Introduction'''
This case study is based around a research proposal submitted for review by a partnership between an EU research institute and an African medical research centre. It is a hypothetical case but draws inspiration from current discussions regarding the use of biobanking technologies in research. As you work through the module, we invite you to consider the ethics issues that are associated with this type of study from a variety of perspectives as well as how they might be addressed by a research ethics committee. +
The aim of this module is to support students, researchers, and research ethics reviewers in learning about and reflecting upon the ethics issues associated with the development and use of biobanking.
'''Learning outcomes'''
At the end of this module, learners will be able to:
#Debate the pros and cons of various models of consent for biobanking samples.
#Consider the core issues for biobank data processing related to data protection, data sharing, and privacy concerns.
#Identify varied methods for dealing with incidental findings.
#Access guidelines and regulations relevant to biobanking. +
